HCC: Small: Getting a Grip on the Numerical World: Kinestheic Interaction with Simulations to Support Collaborative Discovery in Systems Biology

HCC：小：掌握数字世界：动觉与模拟的交互支持系统生物学中的协作发现

• 批准号: 1320350
• 负责人: Joseph Le Doux
• 金额: $ 49.91万
• 依托单位: Georgia Tech Research Corporation
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-09-01 至 2018-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1320350&HistoricalAwards=false
• 关键词: HCC; Small; Getting; Grip; Numerical

Computational techniques have greatly extended the range of problems that can be solved by numerical analysis. However, few tools support the combined practice of collaborative learning and discovery in the computational sciences. This project draws on recent work in embodied cognition, which suggests that the process of building models--particularly models with dynamic visualizations--can aid conceptual understanding in complex problem domains. The researchers will develop a system to support and enhance collaborative discovery by re-representing abstract scientific problems in an embodied way. The proposed system will allow researchers to couple visuo-spatial skills with computational techniques to develop understanding and collaborate in the modeling of complex biological systems. Simultaneously, the project will develop techniques to support collaborative modeling in science and engineering. The project will thus test how theories from embodied cognition can inform interaction design and create explicit knowledge about how collaborative discovery happens in the sciences. By changing the way abstract scientific problems and techniques are represented, the proposed system will make these scientific problem easier for researchers to understand and manipulate through embodied experience. This re-representation of complex problems may have several benefits: 1) help researchers find solutions to problems that would otherwise take too long or seem too difficult to solve; 2) enhance problem-driven learning approaches in science and engineering disciplines; 3) enable interdisciplinary groups of learners or researchers to come together and work on (and develop a shared representation of) complex problems in a hands-on manner; and 4) make complex science and engineering problems more accessible to everyday citizens. The project may also have significant impacts on emerging interactive technologies by establishing embodied cognition as a framework for interaction design.

计算技术极大地扩展了可以通过数值分析解决的问题的范围。然而，很少有工具支持在计算科学的合作学习和发现的结合实践。该项目借鉴了最近在具身认知方面的工作，这表明构建模型的过程-特别是具有动态可视化的模型-可以帮助复杂问题领域的概念理解。研究人员将开发一个系统，通过以具体的方式重新表示抽象的科学问题来支持和增强协作发现。该系统将允许研究人员将视觉空间技能与计算技术结合起来，以发展对复杂生物系统建模的理解和合作。同时，该项目将开发支持科学和工程协作建模的技术。因此，该项目将测试来自具身认知的理论如何为交互设计提供信息，并创建关于科学中协作发现如何发生的明确知识。通过改变抽象的科学问题和技术的表现方式，该系统将使这些科学问题更容易为研究人员理解和操作，通过具体的经验。这种对复杂问题的重新表述可能有几个好处：1）帮助研究人员找到解决问题的方法，否则需要太长时间或似乎太难解决; 2）在科学和工程学科中加强问题驱动的学习方法; 3）使跨学科的学习者或研究人员能够走到一起，（并开发一个共同的代表性）在一个动手的方式复杂的问题;和4）使复杂的科学和工程问题更容易为日常公民。该项目还可能通过建立具身认知作为交互设计的框架，对新兴的交互技术产生重大影响。